BPMN governance for industrial enterprises

From documents to governed BPMN — fast, and auditable.

AI drafts the process from your existing documents. Your people review and approve it. Nothing ships without sign-off.

On-premise. Your data never leaves your environment.

Document → governed BPMN six-eyes
Ingest AI draft editable suggestions Draft Six-eyes review XML Approved export OMG-conformant BPMN
The problem

Process knowledge is scattered. Turning it into trustworthy BPMN is slow.

  • Knowledge lives in PDFs, slide decks, screenshots and SOPs — never in one modellable place.
  • Hand-modelling each process is slow, and the result depends on who drew it.
  • Notation drifts between teams, so diagrams aren't comparable or reusable.
  • When an auditor asks who approved this, and when? — the trail is fuzzy.
How it works

Four steps from raw document to approved, exportable process.

AI does the heavy lifting on the draft. Governance is built into the path — not bolted on after.

01

Ingest

Drop in the documents you already have — PDFs, slides, screenshots, SOPs. OpsCodex reads them in.

02

AI-assisted draft

The AI proposes a BPMN draft with surgical, editable suggestions. You refine the model directly — it's a starting point, not a black box.

03

Six-eyes governance

An explicitly assigned reviewer and approver sign off, with exception handling and an immutable audit log at every step.

04

Export

Only human-approved processes export as OMG-conformant BPMN XML — ready for your tooling, with the approval on record.

Governance

AI proposes. Humans dispose.

Every process moves through a mandatory Author → Reviewer → Approver split. The roles are assigned, the sign-off is explicit, and the record can't be quietly edited later.

  • Separation of dutiesThe author can't approve their own work — the six-eyes split is enforced, not optional.
  • Append-only auditEvery state change is written to an immutable audit log. Nothing is deleted or rewritten.
  • Defensible by designWhen an auditor asks who approved what and when, the answer is one query away.
Approval chain — assigned, explicit
Author
drafts the model
Reviewer
checks & comments
Approver
signs off
2026-06-08 09:14 draft.created        author=k.bauer
2026-06-08 11:02 review.requested     → a.singh
2026-06-08 14:37 review.approved      a.singh
2026-06-09 08:20 approval.granted     m.weber 🔒
2026-06-09 08:20 export.bpmn_xml      sha256:9f3c…
Security & trust

Built for data that has to stay in-house.

OpsCodex runs inside your perimeter, not on someone else's multi-tenant cloud.

On-premise deployment

Runs inside your own environment — not public SaaS. Your processes stay within your perimeter.

Your data never leaves

Documents and models are processed in-tenant. AI providers are configurable, so you control where inference runs.

Role-based access

Granular roles map to the governance workflow. People see and do exactly what their role allows — nothing more.

Append-only audit

Audit events are write-once at the database level. The trail can be read, never tampered with.

Human sign-off required

AI output is a proposal. Nothing exports until a human approver has signed — there is no fully-automated path.

OMG-conformant output

Exports are standards-compliant BPMN XML — portable to your existing modelling and execution tools.

Outcomes

Speed without losing control.

Document → draft, faster

Start from an AI draft instead of a blank canvas. Modelling time collapses from days to an afternoon.

Consistent modelling

Naming templates and shared notation mean every process looks — and reads — the same way.

Defensible approvals

An immutable, queryable trail of who approved what and when, ready for any audit.

A governed path from scattered documents to processes people actually trust.

Built for industrial & regulated enterprises

See OpsCodex on your own processes.

We'll walk you through ingest, AI-assisted drafting and the six-eyes governance workflow — using a process from your world.

Request a demo